CLARA |
1.0
|
metric=euclidean k=74 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=150 y=142 |
Clustering |
Spectral Clustering |
1.0
|
k=18 |
Clustering |
clusterdp |
1.0
|
k=11 dc=3.785665920228867 |
Clustering |
HDBSCAN |
1.0
|
minPts=4 k=83 |
Clustering |
AGNES |
1.0
|
method=single metric=euclidean k=16 |
Clustering |
c-Means |
1.0
|
k=52 m=5.0 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=25 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=154 |
Clustering |
DBSCAN |
1.0
|
eps=3.0024246953539295 MinPts=208 |
Clustering |
Hierarchical Clustering |
1.0
|
method=single k=190 |
Clustering |
fanny |
1.0
|
k=42 membexp=2.0 |
Clustering |
k-Means |
1.0
|
k=230 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.9 K=5 |
Clustering |
clusterONE |
0.0
|
s=34 d=0.36666666666666664 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.99 preference=3.9162061243746904 maxits=2000 convits=350 |
Clustering |
Markov Clustering |
0.0
|
I=4.298298298298298 |
Clustering |
Transitivity Clustering |
1.0
|
T=2.8264110267008524 |
Clustering |
MCODE |
0.999
|
v=0.9 cutoff=3.589855614010133 haircut=F fluff=F |
Clustering |